| Deep reinforcement learning based wireless network optimization: A comparative study K Yang, C Shen, T Liu IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 23 | 2020 |
| Accelerating hybrid federated learning convergence under partial participation J Bian, L Wang, K Yang, C Shen, J Xu arXiv preprint arXiv:2304.05397, 2023 | 6 | 2023 |
| On the convergence of hybrid server-clients collaborative training K Yang, S Chen, C Shen IEEE Journal on Selected Areas in Communications 41 (3), 802-819, 2022 | 3 | 2022 |
| Multi-agent reinforcement learning for wireless user scheduling: Performance, scalablility, and generalization K Yang, D Li, C Shen, J Yang, S Yeh, J Sydir 2022 56th Asilomar Conference on Signals, Systems, and Computers, 1169-1174, 2022 | 3 | 2022 |
| On the convergence of hybrid federated learning with server-clients collaborative training K Yang, C Shen 2022 56th Annual Conference on Information Sciences and Systems (CISS), 252-257, 2022 | 3 | 2022 |
| Offline reinforcement learning for wireless network optimization with mixture datasets K Yang, C Shen, J Yang, S Yeh, J Sydir arXiv preprint arXiv:2311.11423, 2023 | 2 | 2023 |
| Best Arm Identification for Prompt Learning under a Limited Budget C Shi, K Yang, J Yang, C Shen arXiv preprint arXiv:2402.09723, 2024 | | 2024 |
| Harnessing the Power of Federated Learning in Federated Contextual Bandits C Shi, R Zhou, K Yang, C Shen arXiv preprint arXiv:2312.16341, 2023 | | 2023 |
| Advancing RAN Slicing with Offline Reinforcement Learning K Yang, S Yeh, M Zhang, J Sydir, J Yang, C Shen arXiv preprint arXiv:2312.10547, 2023 | | 2023 |
| Teaching Reinforcement Learning Agents via Reinforcement Learning K Yang, C Shi, C Shen 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023 | | 2023 |
Cong ShenUniversity of VirginiaVerified email at virginia.edu
